SAMPLE China Retail Investor Sentiment Analytics | Alternative Data | Social Media | China, Hong ...

China Retail Investor Sentiment Analytics provides sentiment analytics of Chinese retail investors based on 2 stock forums, Guba (GACRIS dataset) and Xueqiu (XACRIS dataset), the most popular stock forums in China from 2007. By utilizing in-house NLP models which are dedicatedly optimized for Chinese stock forum posts and trained on a proprietary manually labeled and cross-checked training data, the dataset provides accurate text analytics of post content, including but not limited to quality, sentiment, and relevant stocks with relevance score. In addition to the aggregated statistics of stock sentiment and popularity, the dataset also provides rich and fine-grained information for each user/post in record level. For example, it reports the registration time, number of followers for each user, and also the replies/readings and province being published for each post. Moreover, these meta data are processed in point-in-Time (PIT) manner since 2019. The dataset could help clients easily capture the sentiment and popularity among millions of Chinese retail investors. On the other hand, it also offers flexibility for clients to customize novel analytics, such as studying the sentiment (conformity/divergence) of users of different level of influence or posts of different hotness, or simply filtering the posts published by users which are too active/positive/negative in a time window when aggregating the statistics. Coverage: All A-share and Hong Kong stocks, 300+ popular US stocks Update Frequency: Daily or intra-day

搜集汇总

背景与挑战

背景概述

该数据集涵盖来自中国两大股票论坛（Guba和Xueqiu）自2007年起的零售投资者情感分析，采用专为中文股吧帖子优化的NLP模型，提供帖子内容的情感、质量及相关股票评分，同时包含用户注册时间、粉丝数及帖子回复、阅读量等元数据，支持每日或日内更新，覆盖A股、港股及300多只热门美股。